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- Use R! Applied Spatial Data Analysis with R, Book 10, (Paperback)
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152116511
Use R! Applied Spatial Data Analysis with R, Book 10, (Paperback)
товар №:
152116511
TJS 850
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This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data.
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What Stands Out
Comprehensive Coverage
Covers a wide array of spatial data analysis techniques, ensuring readers have a thorough understanding of methodologies relevant to various applications in R.
Practical Examples
Includes hands-on examples and case studies, allowing readers to apply theoretical concepts in practical situations, enhancing learning and retention.
User-Friendly Guide
Written for both beginners and experienced users, the book simplifies complex topics, making spatial data analysis accessible without sacrificing depth or detail.
Информация о продукте
- Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, publicadministration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http: //www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | June, 2013 |
| Pages | 405 |
| Subgenre | Biostatistics |
| Series title | Use R! |
| Number in series | 10 |
| Edition | 2nd 2013 Edition |
| Publisher | Springer New York |
| Original languages | English |
| Language | English |
| Edu focus | Geography & Globes |
| Educational level | College |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.10 x 0.90 x 9.00 in (15.5 x 2.3 x 22.9 cm) |
| Assembled product weight | 1.2 lb (540 grams) |
| Bisac subject heading | Medical |
Who Should Buy?
-
Data Analysts
Professionals seeking to enhance their skills in spatial data analysis using R programming tools effectively.
-
Academics
Students or researchers in geography or environmental science looking for a practical guide to spatial data analysis.
-
GIS Professionals
Geographic Information System specialists looking to deepen their understanding of spatial statistics and R applications.
-
Beginner Programmers
Users with no background in R or programming may struggle to grasp the concepts presented in the book.
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Roger S Bivand All Books Editorial Review
Use R! Applied Spatial Data Analysis with R, Book 10, (Paperback) provides an in-depth exploration of biostatistics tailored for college-level learners. This second edition, published by Springer New York in June 2013, spans 405 pages and is structured to enhance understanding of spatial data analysis through the R programming language. Readers will appreciate its non-fiction content, focusing on educational themes related to geography and globes, making it ideal for students and professionals alike. The paperback format is lightweight and easy to handle, ensuring convenient use during studies or reference. Equipped with practical examples, this textbook is a great addition to any academic collection.
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Плюсы
- Ideal for college-level education
- Effective for spatial data analysis
- Comprehensive coverage of biostatistics
- Published by a reputable academic publisher
- User-friendly paperback format
Минусы
- Not suitable for beginners without prior statistical knowledge
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Особенности и преимущества
- Provides comprehensive coverage of R packages for spatial data analysis.
- Includes data import/export for multiple spatial data formats.
- Covers specialized analysis techniques such as interpolation and geostatistics.
- Offers practical examples from spatial statistics literature.
- Features a systematic approach to spatial data handling in R.
- Suitable for various fields including geography, ecology, and public health.
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